class_docstr: This class is responsible for building components for semantic segmentation. 
code: def train_dataset_class(self) -> Any:
      dataset_cfg = self.config.train_dataset_cfg
      assert (
          dataset_cfg != {}
      ), "No train_dataset specified in the configuration file."
      dataset_type = dataset_cfg.get("type")
      return self.load_component_class(dataset_type)
  
imports: import copy
  from typing import Any, Optional
  import yaml
  import paddle
  from paddleseg.cvlibs import manager, Config
  from paddleseg.utils import utils, logger
  from paddleseg.utils.utils import CachedProperty
label_desc: Use image node_id 10 for calling the SegBuilder obj's underlying member method code with example usage: obj.train_dataset_class() and returns: self